Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Taner Cevik"'
Autor:
Touseef Tahir, Cigdem Gencel, Ghulam Rasool, Tariq Umer, Jawad Rasheed, Sook Fern Yeo, Taner Cevik
Publikováno v:
IEEE Access, Vol 11, Pp 141965-141986 (2023)
Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance. Most empirical studies predict defects at granularity
Externí odkaz:
https://doaj.org/article/f382c28ac7ef48408f55e5a9b6a822fa
Publikováno v:
IEEE Access, Vol 11, Pp 118186-118203 (2023)
The field of steganography has witnessed considerable advancements in square-pixel-based image processing (SIP). However, the application of steganography in Hexel (Hexagonal pixel)-based Image Processing (HIP) is still underexplored. This study intr
Externí odkaz:
https://doaj.org/article/da4985c340da451187a664c5e1f814b4
Publikováno v:
IEEE Access, Vol 11, Pp 46577-46591 (2023)
Many face-recognition (FR) methods have been proposed thus far. Although FR has achieved wisdom in square pixel-based image processing (SIP) due to many studies, this wisdom has not been transferred to Hexagonal pixel-based image processing (HIP) unt
Externí odkaz:
https://doaj.org/article/7d84118c4ec6450abe9a72cfdd4ab600
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9273-9283 (2022)
Steganography has made significant advances in the Square-pixel-based Image Processing (SIP) domain, but to our knowledge, no work has yet been done in Hexel (Hexagonal Pixel)-based Image Processing (HIP). This paper presents a HIP-domain data hiding
Externí odkaz:
https://doaj.org/article/64e126571d434c7d9d6613d10dfb4dd7
Publikováno v:
IET Image Processing, Vol 13, Iss 7, Pp 1097-1104 (2019)
This paper proposes a novel high‐performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors that significantly affect the
Externí odkaz:
https://doaj.org/article/de228bafbb15482b9db335c3e324de36
Autor:
Taner Cevik
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Regarding the energy shortage problem of wireless sensor networks (WSNs), various schemes and protocols are proposed to prolong the network lifetime. Data communication is undoubtedly the most important determinant for this energy scarce network type
Externí odkaz:
https://doaj.org/article/bd1cffc7d24b4e5db8150af11c985b73
Autor:
Taner Cevik
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
One of the major challenges of passive optical networks is to achieve a fair arbitration mechanism that will prevent possible collisions from occurring at the upstream channel when multiple users attempt to access the common fiber at the same time. T
Externí odkaz:
https://doaj.org/article/508135c4c9ab4feb97af8dc268c85b49
Publikováno v:
International Journal of Computer Applications. 183:38-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::834e93c976d5188a1caf4139c28cb81f
https://doi.org/10.5120/ijca2021921298
https://doi.org/10.5120/ijca2021921298
Morphological operators for binary and grayscale images are commonly used to eliminate noise, recognize contours or specific structures, and arrange shapes in image processing. Even though morphology has been substantially developed in square-pixel-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0abe7e40e9ac2e253a529937378635d
https://doi.org/10.21203/rs.3.rs-1537955/v1
https://doi.org/10.21203/rs.3.rs-1537955/v1
Publikováno v:
Multimedia Tools and Applications. 80:9527-9546
Server load prediction can be utilized for load-balancing and load-sharing in distributed systems. The use of machine learning (ML) algorithms for load estimation in distributed system applications can increase the availability and performance of ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cb25d7197a577f1dc6d8f1a624de9b7
https://doi.org/10.1007/s11042-020-10067-5
https://doi.org/10.1007/s11042-020-10067-5